AI eye scan could spot hidden diseases
NCT ID NCT07581925
First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This completed study tested whether artificial intelligence (AI) can detect systemic diseases, like liver problems, by analyzing eye images. Researchers trained a deep learning model on eye photos from 775 participants. The goal was to see if the AI could spot signs of disease that human doctors might miss, potentially leading to a quick, non-invasive screening tool.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to a non-invasive, AI-based screening tool that detects liver and other systemic diseases from routine eye photos.
- What could go wrong
- This is a completed study, but the results are not yet published. The AI model's accuracy in real-world settings is still unknown, and it may not work for all populations or diseases.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Zhongshan Ophthalmic Center, Sun Yat-sen Univerisity
Guangzhou, Guangdong, 510000, China
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